Breaking the CUDA Monopoly: AMD ROCm for Clinical AI Fine-Tuning
The MedQA project demonstrates that AMD ROCm is becoming a viable, accessible alternative to Nvidia’s CUDA for specialized clinical AI fine-tuning.
128 stories in the archive
The MedQA project demonstrates that AMD ROCm is becoming a viable, accessible alternative to Nvidia’s CUDA for specialized clinical AI fine-tuning.
Google DeepMind’s AlphaEvolve uses Gemini to autonomously evolve code, raising questions about the trade-off between performance and maintainability.
AI power consumption is so extreme that energy infrastructure has become the primary constraint on AI development. And the companies who solve this problem first will control the bottleneck that’s stopping everyone else from scaling. The intersection of AI and energy isn’t a side
China’s AI development is the single most underreported story in tech. Every major Western AI company claims they’re competing with China. They’re not. China is playing a different game entirely. The Chinese AI landscape is dominated by government-backed initiatives, massive dome
Lawsuits over AI hallucinations are arriving in courts worldwide, and they’re going to fundamentally change what “responsible AI” means in business context. Here’s why it matters. AI companies were warned. For years, safety researchers have been telling anyone who’d listen that A
Groq has set a new speed record for AI inference, and it’s the first crack in NVIDIA’s monopoly. Not because Groq is better than NVIDIA. Because Groq is different, and sometimes “different” is exactly what the market needs. Groq’s LPU (tensor Processing unit) can process large la
AI startups are being acquired before they even become competitive, and it’s changing the industry landscape overnight. Big Tech isn’t buying AI companies anymore — they’re buying the entire AI company before it launches. The startup consolidation wave started quietly. Every week
Autonomous driving is broken. And insurance companies are the first major signal: they’ve been quietly pulling out of the market because the technology isn’t reliable enough to price risk accurately. When insurance companies stop underwriting a technology, it’s not because they’r
AI safety labs are starting to merge. OpenAI, Anthropic, DeepMind — the companies that once competed fiercely are now working together on safety standards. In the AI industry, convergence at the safety level is what happens when everyone realizes the technology is going faster th
AI training data lawsuits have reached a point where they can no longer be ignored. Companies that built billion-dollar models on copyrighted data are facing legal consequences that will reshape how the entire AI industry operates. The legal action against AI companies over their